Senior Machine Learning Engineer
Role summary
The Senior Machine Learning Engineer will develop advanced Vision-Language-Action (VLA) models for autonomous vehicles, focusing on perceiving surroundings, identifying hazards, and making driving suggestions. This role involves designing and training VLA solutions, leading the end-to-end data strategy, and managing the post-training stack for Vision-Language Models (VLMs) and VLAs. The engineer will leverage state-of-the-art ML models operating in real-time on a robotaxi platform, utilizing large-scale data pipelines and ML infrastructure to research, prototype, and deploy solutions that enhance driving behavior. Collaboration with cross-functional teams is key to integrating perception signals and ensuring safe driving in complex scenarios.
### Who you are
- MS or PhD in Computer Science or related field
- Background in deep learning solutions for VLM and VLA models
- Track record in post-training large-scale models, CPT, SFT, RL
- Hands-on experience with production ML pipelines, including dataset creation, training frameworks, and metrics
- Expertise in Python libraries (PyTorch, NumPy, Pandas, VLLM)
- Deep knowledge of cutting-edge computer vision techniques
- Publications in top-tier conferences (CVPR, ICCV, RSS, ICRA)
- Experience with integrating large language models to various tasks
- You do not need to match every listed expectation to apply for this position
### What the job involves
- As an engineer in the Scene Understanding team, you will develop advanced Vision-Language-Action (VLA) models that perceive our vehicle's surroundings to identify hazards and make driving suggestions
- You will utilize VLA models for detecting rare events and ensuring safe driving in these situations
- You'll work with state-of-the-art machine learning models that operate in real-time on our robotaxi platform with minimal latency
- Collaborating with world-class engineers and researchers across sensors, planning, and other teams, you'll have access to premium sensor data and cutting-edge infrastructure to validate your algorithms in real-world conditions
- Design and train Vision-Language-Action (VLA) solutions for robotaxis
- Lead end-to-end data strategy, including mining, auto-labeling, and dataset construction to power our ML flywheel
- Lead the full post-training stack for VLMs and VLAs, including Continual Pre-training (CPT) on domain-specific driving data, Supervised Fine-Tuning (SFT) for instruction following
- Utilize our large-scale data pipelines and ML infrastructure to research, prototype, and deploy solutions that improve driving behavior
- Partner with cross-functional teams to integrate perception signals
### Benefits
- Paid parental leave
- Affinity groups and sports clubs
- Work from home opportunities
- Health insurance
- Our crew’s health and happiness is our first priority. We offer comprehensive health and mental health support, a wellbeing program, and unlimited and flexible paid time away
- We invest in our crew—and their families—for the long term. That includes generous family planning support, caregiver support, and strong cash compensation with great equity upside
- We look after our crew when they’re in the office too. Our famous food program is a great example, featuring a daily changing menu of local and sustainable dishes
- There’s a busy calendar of social events at Zoox, with more sports teams than you can count. And, of course, playing with robots is an important part of the job description
Similar roles
Machine Learning EngineerMastech Digital · Dallas, Texas, United States · Onsite- Machine Learning EngineerEdurech Technoogy · Santa Clara, California, United States · Hybrid
- Machine Learning EngineerMORSE Corp · Boston, Massachusetts, United States · Hybrid
- Machine Learning EngineerReddit · San Francisco, California, United States · Remote
- Machine Learning EngineerReddit · New York, New York, United States · Remote
